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<a href="#pub-methods">Public Member Functions</a> &#124;
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<p>Unscented Kalman filter parameters. The class for initialization parameters of Unscented Kalman filter.  
 <a href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#details">More...</a></p>

<p><code>#include &lt;opencv2/tracking/kalman_filters.hpp&gt;</code></p>
<div class="dynheader">
Inheritance diagram for cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams:</div>
<div class="dyncontent">
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  <img src="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.png" usemap="#cv::detail::tracking::kalman_5Ffilters::UnscentedKalmanFilterParams_map" alt=""/>
  <map id="cv::detail::tracking::kalman_5Ffilters::UnscentedKalmanFilterParams_map" name="cv::detail::tracking::kalman_5Ffilters::UnscentedKalmanFilterParams_map">
<area href="../../de/d40/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1AugmentedUnscentedKalmanFilterParams.html" title="Augmented Unscented Kalman filter parameters. The class for initialization parameters of Augmented Un..." alt="cv::detail::tracking::kalman_filters::AugmentedUnscentedKalmanFilterParams" shape="rect" coords="0,56,436,80"/>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:ab0bc47784a80d9571247fa451c37df40"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#ab0bc47784a80d9571247fa451c37df40">UnscentedKalmanFilterParams</a> ()</td></tr>
<tr class="separator:ab0bc47784a80d9571247fa451c37df40"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a61507b160ca06e6331fecf76010d1a41"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#a61507b160ca06e6331fecf76010d1a41">UnscentedKalmanFilterParams</a> (int dp, int mp, int cp, double processNoiseCovDiag, double measurementNoiseCovDiag, <a class="el" href="../../dc/d84/group__core__basic.html#ga6395ca871a678020c4a31fadf7e8cc63">Ptr</a>&lt; <a class="el" href="../../d3/d78/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UkfSystemModel.html">UkfSystemModel</a> &gt; dynamicalSystem, int type=<a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga30a562691cc5987bc88eb7bb7a8faf2b">CV_64F</a>)</td></tr>
<tr class="separator:a61507b160ca06e6331fecf76010d1a41"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3e657e72bc0d607df350b203d9d09459"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#a3e657e72bc0d607df350b203d9d09459">init</a> (int dp, int mp, int cp, double processNoiseCovDiag, double measurementNoiseCovDiag, <a class="el" href="../../dc/d84/group__core__basic.html#ga6395ca871a678020c4a31fadf7e8cc63">Ptr</a>&lt; <a class="el" href="../../d3/d78/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UkfSystemModel.html">UkfSystemModel</a> &gt; dynamicalSystem, int type=<a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga30a562691cc5987bc88eb7bb7a8faf2b">CV_64F</a>)</td></tr>
<tr class="separator:a3e657e72bc0d607df350b203d9d09459"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
Public Attributes</h2></td></tr>
<tr class="memitem:a0a64ba15e9bceb02b6240fd7f0c0dce3"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#a0a64ba15e9bceb02b6240fd7f0c0dce3">alpha</a></td></tr>
<tr class="memdesc:a0a64ba15e9bceb02b6240fd7f0c0dce3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default is 1e-3.  <a href="#a0a64ba15e9bceb02b6240fd7f0c0dce3">More...</a><br /></td></tr>
<tr class="separator:a0a64ba15e9bceb02b6240fd7f0c0dce3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af970b53669aed8d67f662dee6467c649"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#af970b53669aed8d67f662dee6467c649">beta</a></td></tr>
<tr class="memdesc:af970b53669aed8d67f662dee6467c649"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default is 2.0.  <a href="#af970b53669aed8d67f662dee6467c649">More...</a><br /></td></tr>
<tr class="separator:af970b53669aed8d67f662dee6467c649"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a098e841b185f02dc4f5184465131d64d"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#a098e841b185f02dc4f5184465131d64d">CP</a></td></tr>
<tr class="memdesc:a098e841b185f02dc4f5184465131d64d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Dimensionality of the control vector.  <a href="#a098e841b185f02dc4f5184465131d64d">More...</a><br /></td></tr>
<tr class="separator:a098e841b185f02dc4f5184465131d64d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aca2050e6a8f65fcb177d6ad46b24c305"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#aca2050e6a8f65fcb177d6ad46b24c305">dataType</a></td></tr>
<tr class="memdesc:aca2050e6a8f65fcb177d6ad46b24c305"><td class="mdescLeft">&#160;</td><td class="mdescRight">Type of elements of vectors and matrices, default is CV_64F.  <a href="#aca2050e6a8f65fcb177d6ad46b24c305">More...</a><br /></td></tr>
<tr class="separator:aca2050e6a8f65fcb177d6ad46b24c305"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a977d07ea08e2cd98b90dd332a71db531"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#a977d07ea08e2cd98b90dd332a71db531">DP</a></td></tr>
<tr class="memdesc:a977d07ea08e2cd98b90dd332a71db531"><td class="mdescLeft">&#160;</td><td class="mdescRight">Dimensionality of the state vector.  <a href="#a977d07ea08e2cd98b90dd332a71db531">More...</a><br /></td></tr>
<tr class="separator:a977d07ea08e2cd98b90dd332a71db531"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4ccf4258cbebea5c75b1baa7535ed91f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#a4ccf4258cbebea5c75b1baa7535ed91f">errorCovInit</a></td></tr>
<tr class="memdesc:a4ccf4258cbebea5c75b1baa7535ed91f"><td class="mdescLeft">&#160;</td><td class="mdescRight">State estimate cross-covariance matrix, DP x DP, default is identity.  <a href="#a4ccf4258cbebea5c75b1baa7535ed91f">More...</a><br /></td></tr>
<tr class="separator:a4ccf4258cbebea5c75b1baa7535ed91f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0523066100fc87dd10c988441552b866"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#a0523066100fc87dd10c988441552b866">k</a></td></tr>
<tr class="memdesc:a0523066100fc87dd10c988441552b866"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default is 0.  <a href="#a0523066100fc87dd10c988441552b866">More...</a><br /></td></tr>
<tr class="separator:a0523066100fc87dd10c988441552b866"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a986ebad9108e1ad0a5207ff51a06bd06"><td class="memItemLeft" align="right" valign="top"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#a986ebad9108e1ad0a5207ff51a06bd06">measurementNoiseCov</a></td></tr>
<tr class="memdesc:a986ebad9108e1ad0a5207ff51a06bd06"><td class="mdescLeft">&#160;</td><td class="mdescRight">Measurement noise cross-covariance matrix, MP x MP.  <a href="#a986ebad9108e1ad0a5207ff51a06bd06">More...</a><br /></td></tr>
<tr class="separator:a986ebad9108e1ad0a5207ff51a06bd06"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a55032f1235b8aea26ba0ca78152635e5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="../../dc/d84/group__core__basic.html#ga6395ca871a678020c4a31fadf7e8cc63">Ptr</a>&lt; <a class="el" href="../../d3/d78/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UkfSystemModel.html">UkfSystemModel</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#a55032f1235b8aea26ba0ca78152635e5">model</a></td></tr>
<tr class="memdesc:a55032f1235b8aea26ba0ca78152635e5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Object of the class containing functions for computing the next state and the measurement.  <a href="#a55032f1235b8aea26ba0ca78152635e5">More...</a><br /></td></tr>
<tr class="separator:a55032f1235b8aea26ba0ca78152635e5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac570e426b3b557921d21051201fc8d42"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#ac570e426b3b557921d21051201fc8d42">MP</a></td></tr>
<tr class="memdesc:ac570e426b3b557921d21051201fc8d42"><td class="mdescLeft">&#160;</td><td class="mdescRight">Dimensionality of the measurement vector.  <a href="#ac570e426b3b557921d21051201fc8d42">More...</a><br /></td></tr>
<tr class="separator:ac570e426b3b557921d21051201fc8d42"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae558ca129beb694ce2435b83979f6b79"><td class="memItemLeft" align="right" valign="top"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#ae558ca129beb694ce2435b83979f6b79">processNoiseCov</a></td></tr>
<tr class="memdesc:ae558ca129beb694ce2435b83979f6b79"><td class="mdescLeft">&#160;</td><td class="mdescRight">Process noise cross-covariance matrix, DP x DP.  <a href="#ae558ca129beb694ce2435b83979f6b79">More...</a><br /></td></tr>
<tr class="separator:ae558ca129beb694ce2435b83979f6b79"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af21f77925372fa2f342def1cdd1b3c11"><td class="memItemLeft" align="right" valign="top"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d61/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UnscentedKalmanFilterParams.html#af21f77925372fa2f342def1cdd1b3c11">stateInit</a></td></tr>
<tr class="memdesc:af21f77925372fa2f342def1cdd1b3c11"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initial state, DP x 1, default is zero.  <a href="#af21f77925372fa2f342def1cdd1b3c11">More...</a><br /></td></tr>
<tr class="separator:af21f77925372fa2f342def1cdd1b3c11"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Unscented Kalman filter parameters. The class for initialization parameters of Unscented Kalman filter. </p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
<a id="ab0bc47784a80d9571247fa451c37df40"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ab0bc47784a80d9571247fa451c37df40">&#9670;&nbsp;</a></span>UnscentedKalmanFilterParams() <span class="overload">[1/2]</span></h2>

<div class="memitem">
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          <td class="memname">cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::UnscentedKalmanFilterParams </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
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<p>The constructors. </p>

</div>
</div>
<a id="a61507b160ca06e6331fecf76010d1a41"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a61507b160ca06e6331fecf76010d1a41">&#9670;&nbsp;</a></span>UnscentedKalmanFilterParams() <span class="overload">[2/2]</span></h2>

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          <td class="memname">cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::UnscentedKalmanFilterParams </td>
          <td>(</td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>dp</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>mp</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>cp</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">double&#160;</td>
          <td class="paramname"><em>processNoiseCovDiag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">double&#160;</td>
          <td class="paramname"><em>measurementNoiseCovDiag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga6395ca871a678020c4a31fadf7e8cc63">Ptr</a>&lt; <a class="el" href="../../d3/d78/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UkfSystemModel.html">UkfSystemModel</a> &gt;&#160;</td>
          <td class="paramname"><em>dynamicalSystem</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>type</em> = <code><a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga30a562691cc5987bc88eb7bb7a8faf2b">CV_64F</a></code>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">dp</td><td>- dimensionality of the state vector, </td></tr>
    <tr><td class="paramname">mp</td><td>- dimensionality of the measurement vector, </td></tr>
    <tr><td class="paramname">cp</td><td>- dimensionality of the control vector, </td></tr>
    <tr><td class="paramname">processNoiseCovDiag</td><td>- value of elements on main diagonal process noise cross-covariance matrix, </td></tr>
    <tr><td class="paramname">measurementNoiseCovDiag</td><td>- value of elements on main diagonal measurement noise cross-covariance matrix, </td></tr>
    <tr><td class="paramname">dynamicalSystem</td><td>- ptr to object of the class containing functions for computing the next state and the measurement, </td></tr>
    <tr><td class="paramname">type</td><td>- type of the created matrices that should be CV_32F or CV_64F. </td></tr>
  </table>
  </dd>
</dl>

</div>
</div>
<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a3e657e72bc0d607df350b203d9d09459">&#9670;&nbsp;</a></span>init()</h2>

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          <td class="memname">void cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::init </td>
          <td>(</td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>dp</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>mp</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>cp</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">double&#160;</td>
          <td class="paramname"><em>processNoiseCovDiag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">double&#160;</td>
          <td class="paramname"><em>measurementNoiseCovDiag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga6395ca871a678020c4a31fadf7e8cc63">Ptr</a>&lt; <a class="el" href="../../d3/d78/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UkfSystemModel.html">UkfSystemModel</a> &gt;&#160;</td>
          <td class="paramname"><em>dynamicalSystem</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>type</em> = <code><a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga30a562691cc5987bc88eb7bb7a8faf2b">CV_64F</a></code>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<p>The function for initialization of Unscented Kalman filter </p><dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">dp</td><td>- dimensionality of the state vector, </td></tr>
    <tr><td class="paramname">mp</td><td>- dimensionality of the measurement vector, </td></tr>
    <tr><td class="paramname">cp</td><td>- dimensionality of the control vector, </td></tr>
    <tr><td class="paramname">processNoiseCovDiag</td><td>- value of elements on main diagonal process noise cross-covariance matrix, </td></tr>
    <tr><td class="paramname">measurementNoiseCovDiag</td><td>- value of elements on main diagonal measurement noise cross-covariance matrix, </td></tr>
    <tr><td class="paramname">dynamicalSystem</td><td>- ptr to object of the class containing functions for computing the next state and the measurement, </td></tr>
    <tr><td class="paramname">type</td><td>- type of the created matrices that should be CV_32F or CV_64F. </td></tr>
  </table>
  </dd>
</dl>

</div>
</div>
<h2 class="groupheader">Member Data Documentation</h2>
<a id="a0a64ba15e9bceb02b6240fd7f0c0dce3"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a0a64ba15e9bceb02b6240fd7f0c0dce3">&#9670;&nbsp;</a></span>alpha</h2>

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          <td class="memname">double cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::alpha</td>
        </tr>
      </table>
</div><div class="memdoc">

<p>Default is 1e-3. </p>

</div>
</div>
<a id="af970b53669aed8d67f662dee6467c649"></a>
<h2 class="memtitle"><span class="permalink"><a href="#af970b53669aed8d67f662dee6467c649">&#9670;&nbsp;</a></span>beta</h2>

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          <td class="memname">double cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::beta</td>
        </tr>
      </table>
</div><div class="memdoc">

<p>Default is 2.0. </p>

</div>
</div>
<a id="a098e841b185f02dc4f5184465131d64d"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a098e841b185f02dc4f5184465131d64d">&#9670;&nbsp;</a></span>CP</h2>

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          <td class="memname">int cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::CP</td>
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      </table>
</div><div class="memdoc">

<p>Dimensionality of the control vector. </p>

</div>
</div>
<a id="aca2050e6a8f65fcb177d6ad46b24c305"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aca2050e6a8f65fcb177d6ad46b24c305">&#9670;&nbsp;</a></span>dataType</h2>

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          <td class="memname">int cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::dataType</td>
        </tr>
      </table>
</div><div class="memdoc">

<p>Type of elements of vectors and matrices, default is CV_64F. </p>

</div>
</div>
<a id="a977d07ea08e2cd98b90dd332a71db531"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a977d07ea08e2cd98b90dd332a71db531">&#9670;&nbsp;</a></span>DP</h2>

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          <td class="memname">int cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::DP</td>
        </tr>
      </table>
</div><div class="memdoc">

<p>Dimensionality of the state vector. </p>

</div>
</div>
<a id="a4ccf4258cbebea5c75b1baa7535ed91f"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a4ccf4258cbebea5c75b1baa7535ed91f">&#9670;&nbsp;</a></span>errorCovInit</h2>

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          <td class="memname"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::errorCovInit</td>
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<p>State estimate cross-covariance matrix, DP x DP, default is identity. </p>

</div>
</div>
<a id="a0523066100fc87dd10c988441552b866"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a0523066100fc87dd10c988441552b866">&#9670;&nbsp;</a></span>k</h2>

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          <td class="memname">double cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::k</td>
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      </table>
</div><div class="memdoc">

<p>Default is 0. </p>

</div>
</div>
<a id="a986ebad9108e1ad0a5207ff51a06bd06"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a986ebad9108e1ad0a5207ff51a06bd06">&#9670;&nbsp;</a></span>measurementNoiseCov</h2>

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          <td class="memname"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::measurementNoiseCov</td>
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</div><div class="memdoc">

<p>Measurement noise cross-covariance matrix, MP x MP. </p>

</div>
</div>
<a id="a55032f1235b8aea26ba0ca78152635e5"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a55032f1235b8aea26ba0ca78152635e5">&#9670;&nbsp;</a></span>model</h2>

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          <td class="memname"><a class="el" href="../../dc/d84/group__core__basic.html#ga6395ca871a678020c4a31fadf7e8cc63">Ptr</a>&lt;<a class="el" href="../../d3/d78/classcv_1_1detail_1_1tracking_1_1kalman__filters_1_1UkfSystemModel.html">UkfSystemModel</a>&gt; cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::model</td>
        </tr>
      </table>
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<p>Object of the class containing functions for computing the next state and the measurement. </p>

</div>
</div>
<a id="ac570e426b3b557921d21051201fc8d42"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ac570e426b3b557921d21051201fc8d42">&#9670;&nbsp;</a></span>MP</h2>

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          <td class="memname">int cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::MP</td>
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      </table>
</div><div class="memdoc">

<p>Dimensionality of the measurement vector. </p>

</div>
</div>
<a id="ae558ca129beb694ce2435b83979f6b79"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ae558ca129beb694ce2435b83979f6b79">&#9670;&nbsp;</a></span>processNoiseCov</h2>

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          <td class="memname"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::processNoiseCov</td>
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<p>Process noise cross-covariance matrix, DP x DP. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#af21f77925372fa2f342def1cdd1b3c11">&#9670;&nbsp;</a></span>stateInit</h2>

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          <td class="memname"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> cv::detail::tracking::kalman_filters::UnscentedKalmanFilterParams::stateInit</td>
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<p>Initial state, DP x 1, default is zero. </p>

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</div>
<hr/>The documentation for this class was generated from the following file:<ul>
<li>opencv2/tracking/<a class="el" href="../../d6/db3/kalman__filters_8hpp.html">kalman_filters.hpp</a></li>
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